Abstract
In today's rapidly changing and globally volatile world, manufacturers pay strong efforts on conducting lean production, outsourcing their components, and management on the complex supply chain. Warehouse management plays a vital role to be a successful player in the any kinds of industry which put-away process is a key activity that brings significant influence and challenges to warehouse performance. In this dynamic operating environment, minimizing the operation mistakes and providing accurate real time inventory information to stakeholder become the basic requirements to be an order qualifier. An OLAP based intelligent system called Fuzzy Storage Assignment System (FSAS) is proposed to increase availability of decision support data and convert the human knowledge into system for tackling the storage location assignment problem (SLAP). To validate the feasibility of this proposed system, a prototype will be worked out for a third party logistics company.
Highlights
Warehouse storage decisions influence almost all key performance indicators of a warehouse such as order picking time and cost, productivity, shipping and inventory accuracy and storage density (Frazelle, 2002)
There are only few warehouse management systems (WMS)s and warehouses have the data allowing alone the warehouse operators and computer support intelligent slotting to ensure that the quality information is available at the time to make storage location decision
Besides there is often insufficient required data for put-away process while the existing WMS lacks customization for supporting the putaway process in the warehouse which has given specific operation characteristics while the put-away decisions are made based on human knowledge that unavoidably lead to inaccuracy and long order time which brings negative impacts on customer satisfaction
Summary
Warehouse storage decisions influence almost all key performance indicators of a warehouse such as order picking time and cost, productivity, shipping and inventory accuracy and storage density (Frazelle, 2002). Storage location process is a very data intensive process, which requires the relevant for making such decision. There are only few warehouse management systems (WMS)s and warehouses have the data allowing alone the warehouse operators and computer support intelligent slotting (storage location selection) to ensure that the quality information is available at the time to make storage location decision. Besides there is often insufficient required data for put-away process while the existing WMS lacks customization for supporting the putaway process in the warehouse which has given specific operation characteristics while the put-away decisions are made based on human knowledge that unavoidably lead to inaccuracy and long order time which brings negative impacts on customer satisfaction. The discussion and overall conclusion about the use of the proposed FSAS are made in the final section
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